Agentic AI Systems Engineer

About the Company Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting‑edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world. We benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied, we prioritize your well‑being and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. About the Role: Agentic AI Systems Engineer As a Software Engineer, you’ll dive deep into ground‑breaking technologies—like machine learning and AI—to craft novel software solutions for semiconductor equipment components and devices. Our engineers are responsible for designing, prototyping, developing, and debugging software solutions to ensure quality and functionality. You’ll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you’ll contribute expertise in intricate systems, decipher code, and anticipate software behaviors to keep Applied at the forefront of the semiconductor and display sectors. The Agentic AI Systems Engineer is responsible for building the agentic infrastructure that enables next‑generation GenAI applications for Applied Products. The role bridges AI, software infrastructure, and domain engineering to ensure that agentic systems are secure, deterministic, and drive velocity and productivity for our products. What You Will Build Skill Pack Framework – Architect and ship the end‑to‑end skill framework, including authoring, versioning, distribution, and runtime loading across Java, Python, C++, and web‑based codebases. Multi‑Agent Runtime – Design and implement a multi‑agent execution environment with persistent background agents, swarm coordination, and cross‑agent context sharing. Agent‑Aware Code Intelligence – Develop deep code understanding systems such as semantic code search, dependency‑aware context modeling, and structural codebase analysis. Key Responsibilities Architect, design and implement the agent runtime and orchestration platform that enables AI‑assisted development workflows across Applied products. Act as a bridge between AI research capabilities and real production software needs, translating emerging agentic patterns into deployable infrastructure. Own the end‑to‑end lifecycle of agentic systems, define core abstractions for agents, tools, memory, planning, validation, and execution, ensuring reuse and consistency across teams. Partner with teams and develop the MCP platform, unifying code, documentation, and developer lifecycle MCPs into a single, dependable context infrastructure. Design mechanisms for secure tool access, API allow listing, and controlled execution against internal systems. Establish evaluation frameworks to track correctness, latency, cost, safety events, and human override frequency. Build instrumentation for logging, metrics, and tracing of agent behavior across sessions and workflows. Provide technical leadership and mentorship to engineering teams adopting agent‑based workflows. Required Skills & Experience Strong system level thinking with the ability to design end‑to‑end architectures spanning agents, tools, memory, governance, and observability. Experience designing agent runtimes or orchestration layers (not just using frameworks). Solid system design expertise for highly reliable, observable, developer‑facing services and agentic systems. Strong proficiency in at least one major programming language (e.g., Java, Python, C++). Hands‑on experience integrating AI/ML models into developer workflows. Proven experience building and operating developer tooling or platform infrastructure (SDKs, CLIs, APIs, runtimes) in large‑scale engineering environments. 7+ years of industry‑relevant experience. Nice‑to‑Have Experience with advanced agentic patterns (multi‑agent workflows, planner/critic loops). Hands‑on exposure to on‑prem LLM deployment and optimization. Practical knowledge of RAG and vector search systems for grounding AI outputs. Background in security‑first or high‑reliability software environments. Benefits Salary: $152,000.00 – $208,500.00 Location: Santa Clara, CA Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes We provide a comprehensive benefits package, including participation in bonus and stock award programs, as applicable. The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job‑related knowledge, skills, experience, and internal equity. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. #J-18808-Ljbffr Dormont Manufacturing Co